What are some effective hyperparameter tuning techniques?

What are some effective hyperparameter tuning techniques?

There are several techniques for hyperparameter tuning, including grid search, random search, and Bayesian optimization.

Can you explain grid search in more detail?

Grid search involves specifying a set of hyperparameters and their possible values, then evaluating all combinations to find the best performance.

What are the advantages of using random search over grid search?

Random search can be more efficient than grid search because it samples a fixed number of random combinations, often leading to better results in less time.

How does Bayesian optimization work?

Bayesian optimization builds a probabilistic model of the function mapping hyperparameters to a score, allowing it to choose the most promising hyperparameters to evaluate next.